Data anonymization according to the combination of attributes on social network sites

Sanaz Kavianpour; Bharanidharan Shanmugam; Zuraini Ismail

doi:10.1007/978-3-642-40576-1_27

Data anonymization according to the combination of attributes on social network sites

Sanaz Kavianpour, Bharanidharan Shanmugam, Zuraini Ismail

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The popularity of social network sites has increased extremely during the previous years. Social network sites provide an intimacy interactive platform on the Internet for exchanging information among users. Users may disclose their ideas, comments, pictures or videos, secrets about their business or other private information that may be used by inappropriate user to threaten users’ future decisions or positions. Thus, the goal of this paper is to explain how users’ data can be anonymized to mitigate privacy concerns through information dissemination. The results depicts that although anonymization of data cannot protect the privacy of data completely, it can reduce the possibility of re-identification.

Original language	English
Title of host publication	Security in computing and communications
Subtitle of host publication	International Symposium, SSCC 2013, Mysore, India, August 22-24, 2013, Proceedings
Editors	Sabu M. Thampi, Pradeep K. Atrey, Chun-I Fan, Gregorio Martinez Perez
Place of Publication	Berlin
Publisher	Springer
Pages	272-280
Number of pages	9
ISBN (Electronic)	9783642405761
ISBN (Print)	9783642405754
DOIs	https://doi.org/10.1007/978-3-642-40576-1_27
Publication status	Published - 12 Sep 2013
Externally published	Yes
Event	International Symposium on Security in Computing and Communications - Mysore, India Duration: 22 Aug 2013 → 24 Aug 2013

Publication series

Name	Communication in Computer and Information Science
Publisher	Springer
Volume	377
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	International Symposium on Security in Computing and Communications
Abbreviated title	SSCC 2013
Country/Territory	India
City	Mysore
Period	22/08/13 → 24/08/13

Access to Document

10.1007/978-3-642-40576-1_27

Cite this

Kavianpour, S., Shanmugam, B., & Ismail, Z. (2013). Data anonymization according to the combination of attributes on social network sites. In S. M. Thampi, P. K. Atrey, C-I. Fan, & G. Martinez Perez (Eds.), Security in computing and communications: International Symposium, SSCC 2013, Mysore, India, August 22-24, 2013, Proceedings (pp. 272-280). (Communication in Computer and Information Science; Vol. 377). Springer. https://doi.org/10.1007/978-3-642-40576-1_27

Kavianpour, Sanaz ; Shanmugam, Bharanidharan ; Ismail, Zuraini. / Data anonymization according to the combination of attributes on social network sites. Security in computing and communications: International Symposium, SSCC 2013, Mysore, India, August 22-24, 2013, Proceedings. editor / Sabu M. Thampi ; Pradeep K. Atrey ; Chun-I Fan ; Gregorio Martinez Perez. Berlin : Springer, 2013. pp. 272-280 (Communication in Computer and Information Science).

@inproceedings{5dd868d97cd448b88e0f42d07a35f420,

title = "Data anonymization according to the combination of attributes on social network sites",

abstract = "The popularity of social network sites has increased extremely during the previous years. Social network sites provide an intimacy interactive platform on the Internet for exchanging information among users. Users may disclose their ideas, comments, pictures or videos, secrets about their business or other private information that may be used by inappropriate user to threaten users{\textquoteright} future decisions or positions. Thus, the goal of this paper is to explain how users{\textquoteright} data can be anonymized to mitigate privacy concerns through information dissemination. The results depicts that although anonymization of data cannot protect the privacy of data completely, it can reduce the possibility of re-identification.",

author = "Sanaz Kavianpour and Bharanidharan Shanmugam and Zuraini Ismail",

year = "2013",

month = sep,

day = "12",

doi = "10.1007/978-3-642-40576-1_27",

language = "English",

isbn = "9783642405754",

series = "Communication in Computer and Information Science",

publisher = "Springer",

pages = "272--280",

editor = "Thampi, {Sabu M.} and Atrey, {Pradeep K.} and Chun-I Fan and {Martinez Perez}, Gregorio",

booktitle = "Security in computing and communications",

note = "International Symposium on Security in Computing and Communications, SSCC 2013 ; Conference date: 22-08-2013 Through 24-08-2013",

}

Kavianpour, S, Shanmugam, B & Ismail, Z 2013, Data anonymization according to the combination of attributes on social network sites. in SM Thampi, PK Atrey, C-I Fan & G Martinez Perez (eds), Security in computing and communications: International Symposium, SSCC 2013, Mysore, India, August 22-24, 2013, Proceedings. Communication in Computer and Information Science, vol. 377, Springer, Berlin, pp. 272-280, International Symposium on Security in Computing and Communications, Mysore, India, 22/08/13. https://doi.org/10.1007/978-3-642-40576-1_27

Data anonymization according to the combination of attributes on social network sites. / Kavianpour, Sanaz; Shanmugam, Bharanidharan; Ismail, Zuraini.

Security in computing and communications: International Symposium, SSCC 2013, Mysore, India, August 22-24, 2013, Proceedings. ed. / Sabu M. Thampi; Pradeep K. Atrey; Chun-I Fan; Gregorio Martinez Perez. Berlin : Springer, 2013. p. 272-280 (Communication in Computer and Information Science; Vol. 377).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Data anonymization according to the combination of attributes on social network sites

AU - Kavianpour, Sanaz

AU - Shanmugam, Bharanidharan

AU - Ismail, Zuraini

PY - 2013/9/12

Y1 - 2013/9/12

N2 - The popularity of social network sites has increased extremely during the previous years. Social network sites provide an intimacy interactive platform on the Internet for exchanging information among users. Users may disclose their ideas, comments, pictures or videos, secrets about their business or other private information that may be used by inappropriate user to threaten users’ future decisions or positions. Thus, the goal of this paper is to explain how users’ data can be anonymized to mitigate privacy concerns through information dissemination. The results depicts that although anonymization of data cannot protect the privacy of data completely, it can reduce the possibility of re-identification.

AB - The popularity of social network sites has increased extremely during the previous years. Social network sites provide an intimacy interactive platform on the Internet for exchanging information among users. Users may disclose their ideas, comments, pictures or videos, secrets about their business or other private information that may be used by inappropriate user to threaten users’ future decisions or positions. Thus, the goal of this paper is to explain how users’ data can be anonymized to mitigate privacy concerns through information dissemination. The results depicts that although anonymization of data cannot protect the privacy of data completely, it can reduce the possibility of re-identification.

U2 - 10.1007/978-3-642-40576-1_27

DO - 10.1007/978-3-642-40576-1_27

M3 - Conference contribution

SN - 9783642405754

T3 - Communication in Computer and Information Science

SP - 272

EP - 280

BT - Security in computing and communications

A2 - Thampi, Sabu M.

A2 - Atrey, Pradeep K.

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A2 - Martinez Perez, Gregorio

PB - Springer

CY - Berlin

T2 - International Symposium on Security in Computing and Communications

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Kavianpour S, Shanmugam B, Ismail Z. Data anonymization according to the combination of attributes on social network sites. In Thampi SM, Atrey PK, Fan C-I, Martinez Perez G, editors, Security in computing and communications: International Symposium, SSCC 2013, Mysore, India, August 22-24, 2013, Proceedings. Berlin: Springer. 2013. p. 272-280. (Communication in Computer and Information Science). https://doi.org/10.1007/978-3-642-40576-1_27

Data anonymization according to the combination of attributes on social network sites

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